DATA-driven shock impact of COVID-19 on the market financial system. Issue 1 (January 2022)
- Record Type:
- Journal Article
- Title:
- DATA-driven shock impact of COVID-19 on the market financial system. Issue 1 (January 2022)
- Main Title:
- DATA-driven shock impact of COVID-19 on the market financial system
- Authors:
- Li, Shaoling
Yan, Yuwei - Abstract:
- Highlights: We built a data model processing system to analyzes the shock effect from three aspects. Our work uses analyzes model data and outputs the results and compares them with the actual situation. The proposed research method has significant effects and has certain reference value for studying the shock effect of the epidemic on the financial system. Abstract: The Corona Virus Disease 2019(COVID-19) has a dramatic effect on my country's market and financial system. Although China has controlled the deterioration of the epidemic, this global epidemic will inevitably have an impact on the global economy including China. In order to study the shock effect of the COVID-19 on the market financial system, this paper builds a data model processing system based on the event analysis method, and analyzes the shock effect from three aspects of supply chain finance, financial securities, and corporate financial systems. Moreover, this paper uses crawler technology to obtain valid data from major websites, analyzes model data with mathematical statistics combined with event models, and outputs the results and compares them with the actual situation. Through data analysis, it can be seen that the model constructed in this paper can effectively reflect the shock effect of the COVID-19 on the market financial system. Finally, the comparison method is used to compare the research results with the actual situation. The results show that the two are basically the same. Therefore, itHighlights: We built a data model processing system to analyzes the shock effect from three aspects. Our work uses analyzes model data and outputs the results and compares them with the actual situation. The proposed research method has significant effects and has certain reference value for studying the shock effect of the epidemic on the financial system. Abstract: The Corona Virus Disease 2019(COVID-19) has a dramatic effect on my country's market and financial system. Although China has controlled the deterioration of the epidemic, this global epidemic will inevitably have an impact on the global economy including China. In order to study the shock effect of the COVID-19 on the market financial system, this paper builds a data model processing system based on the event analysis method, and analyzes the shock effect from three aspects of supply chain finance, financial securities, and corporate financial systems. Moreover, this paper uses crawler technology to obtain valid data from major websites, analyzes model data with mathematical statistics combined with event models, and outputs the results and compares them with the actual situation. Through data analysis, it can be seen that the model constructed in this paper can effectively reflect the shock effect of the COVID-19 on the market financial system. Finally, the comparison method is used to compare the research results with the actual situation. The results show that the two are basically the same. Therefore, it can be seen that the proposed research method has significant effects and has certain reference value for studying the shock effect of the epidemic on the financial system. … (more)
- Is Part Of:
- Information processing & management. Volume 59:Issue 1(2022)
- Journal:
- Information processing & management
- Issue:
- Volume 59:Issue 1(2022)
- Issue Display:
- Volume 59, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 59
- Issue:
- 1
- Issue Sort Value:
- 2022-0059-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- COVID-19 -- Finance -- Shock effect -- Market economy
Information storage and retrieval systems -- Periodicals
Information science -- Periodicals
Systèmes d'information -- Périodiques
Sciences de l'information -- Périodiques
Information science
Information storage and retrieval systems
Periodicals
658.4038 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064573 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ipm.2021.102768 ↗
- Languages:
- English
- ISSNs:
- 0306-4573
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4493.893000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19853.xml